WORDFAST CLASSIC 2002 CREATE AND USE TM DOWNLOAD
Files Used in this Tutorial Download data files from the Exelis website. Results of both unsupervised and supervised classifications are examined and post classification processing including clump, sieve, combine classes, and accuracy assessment are discussed. 1 ENVI Classic Tutorial: Classification Methods Classification Methods 2 Files Used in this Tutorial 2 Examining a Landsat TM Color Image 3 Reviewing Image Colors 3 Using the Cursor Location/Value 4 Examining Spectral Plots 4 Exploring Unsupervised Classification Methods 6 Applying K-Means Classification 6 Applying ISODATA Classification 7 Exploring Supervised Classification Methods 9 Selecting Training Sets Using Regions of Interest (ROI) 9 Applying Parallelepiped Classification 9 Applying Maximum Likelihood Classification 10 Applying Minimum Distance Classification 10 Applying Mahalanobis Distance Classification 11 Exploring Spectral Classification Methods 12 Collecting Endmember Spectra 12 Applying Binary Encoding Classification 13 Exploring Rule Images 15 Post Classification Processing 17 Extracting Class Statistics 17 Generating a Confusion Matrix 18 Clumping and Sieving 19 Combining Classes 20 Overlaying Classes 20 Editing Class Colors 22 Working with Interactive Classification Overlays 23 Overlaying Vector Layers 24 Converting a Classification to a Vector 24 Adding Classification Keys Using Annotation 25 of 26Ģ Classification Methods This tutorial provides an introduction to classification procedures using Landsat TM data from Cañon City, Colorado.
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